Abstract is missing.
- Federated Time-Dependent GNN Learning from Brain Connectivity Data with Missing TimepointsZeynep Gürler, Islem Rekik. 1-12 [doi]
- Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation TestingMagdalini Paschali, Qingyu Zhao, Ehsan Adeli 0001, Kilian M. Pohl. 13-23 [doi]
- Multi-tracer PET Imaging Using Deep Learning: Applications in Patients with High-Grade GliomasMirwais Wardak, Sarah M. Hooper, Christiaan Schiepers, Wei Chen, Carina Mari Aparici, Guido A. Davidzon, Ophir Vermesh, Timothy F. Cloughesy, Sung-Cheng Huang, Sanjiv Sam Gambhir. 24-35 [doi]
- Multiple Instance Neuroimage TransformerAyush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli 0001. 36-48 [doi]
- Intervertebral Disc Labeling with Learning Shape Information, a Look once ApproachReza Azad, Moein Heidari, Julien Cohen-Adad, Ehsan Adeli 0001, Dorit Merhof. 49-59 [doi]
- Mixup Augmentation Improves Age Prediction from T1-Weighted Brain MRI ScansLara Dular, Ziga Spiclin. 60-70 [doi]
- Diagnosing Knee Injuries from MRI with Transformer Based Deep LearningGökay Sezen, Ilkay Öksüz. 71-78 [doi]
- 18F-FDG PET ImagingAnouar Kherchouche, Olfa Ben Ahmed, Carole Guillevin, Benoit Tremblais, Christine Fernandez-Maloigne, Rémy Guillevin. 79-90 [doi]
- TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image SegmentationReza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli 0001, Dorit Merhof. 91-102 [doi]
- Opportunistic Hip Fracture Risk Prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) StudyLars Schmarje, Stefan Reinhold, Timo Damm, Eric Orwoll, Claus C. Glüer, Reinhard Koch. 103-114 [doi]
- Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary RegressorSiwoo Nam, Myeongkyun Kang, Dong Kyu Won, Philip Chikontwe, Byeong-Joo Noh, Heounjeong Go, Sanghyun Park 0004. 115-125 [doi]
- Discriminative Deep Neural Network for Predicting Knee OsteoArthritis in Early StageYassine Nasser, Mohammed El Hassouni, Rachid Jennane. 126-136 [doi]
- Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular DataMoritz Binzer, Kerstin Hammernik, Daniel Rueckert, Veronika A. Zimmer. 137-148 [doi]
- Quantifying the Predictive Uncertainty of Regression GNN Models Under Target Domain ShiftsSelim Yürekli, Mehmet Arif Demirtas, Islem Rekik. 149-159 [doi]
- Investigating the Predictive Reproducibility of Federated Graph Neural Networks Using Medical DatasetsMehmet Yigit Balik, Arwa Rekik, Islem Rekik. 160-171 [doi]
- Learning Subject-Specific Functional Parcellations from Cortical Surface MeasuresRoza G. Bayrak, Ilwoo Lyu, Catie Chang. 172-180 [doi]
- A Triplet Contrast Learning of Global and Local Representations for Unannotated Medical ImagesZhiwen Wei, Sungjoon Park, Jaeil Kim. 181-190 [doi]
- Predicting Brain Multigraph Population from a Single Graph Template for Boosting One-Shot ClassificationFurkan Pala, Islem Rekik. 191-202 [doi]
- Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores Using Graph Neural Networks and Meta-learningImen Jegham, Islem Rekik. 203-211 [doi]